Tesi Xiao

25 papers A* 3A 4Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control.
CoRR
Peihao Wang, Shan Yang, Xijun Wang, Tesi Xiao, Xin Liu, Changlong Yu, Yu Lou, Pan Li, Zhangyang Wang, Ming Lin, René Vidal
2025 J jnl
An efficient algorithm for entropic optimal transport under martingale-type constraints.
CoRR
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Tesi Xiao, Lexing Ying
2025 A conf
COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework.
UAI
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
2025 A conf
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.
IUI
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
2025 J jnl
RewardRank: Optimizing True Learning-to-Rank Utility.
CoRR
Gaurav Bhatt, Kiran Koshy Thekumparampil, Tanmay Gangwani, Tesi Xiao, Leonid Sigal
2024 J jnl
A Sinkhorn-type Algorithm for Constrained Optimal Transport.
CoRR
Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024 J jnl
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations.
CoRR
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024 A* conf
Accelerating Sinkhorn algorithm with sparse Newton iterations.
ICLR
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024 J jnl
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework.
CoRR
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
2024 A conf
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow.
AISTATS
Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2024 J jnl
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions.
J. Mach. Learn. Res.
Xuxing Chen, Tesi Xiao, Krishnakumar Balasubramanian
2024 J jnl
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.
CoRR
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
2023 J jnl
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization.
CoRR
Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
2023 A conf
A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization.
UAI
Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
2023 J jnl
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow.
CoRR
Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2023 J jnl
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions.
CoRR
Xuxing Chen, Tesi Xiao, Krishnakumar Balasubramanian
2023 — conf
Towards Sequential Counterfactual Learning to Rank.
SIGIR-AP
Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi
2022 A* conf
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization.
NeurIPS
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
2022 — conf
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction.
DL4SR@CIKM
Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen
2022 J jnl
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction.
CoRR
Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen
2022 J jnl
Improved complexities for stochastic conditional gradient methods under interpolation-like conditions.
Oper. Res. Lett.
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
2021 J jnl
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm.
CoRR
Yanhao Jin, Tesi Xiao, Krishnakumar Balasubramanian
2020 A* conf
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework.
CVPR
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
2020 J jnl
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions.
CoRR
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
2019 J jnl
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise.
CoRR
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh